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Parameter identification of an open-frame underwater vehicle based on numerical simulation and quantum particle swarm optimization

Abstract

Accurate parameter identification of underwater vehicles is of great significance for their controller design and faultdiagnosis. Some studies adopt numerical simulation methods to obtain the model parameters of underwatervehicles, but usually only conduct decoupled single-degree-of-freedom steady-state numerical simulations to identify resistance parameters. In this paper, the velocity response is solved by applying a force (or torque) to the underwater vehicle based on the overset grid and Dynamic Fluid-Body Interaction model of STAR-CCM+, solvingfor the velocity response of an underwater vehicle in all directions in response to propulsive force (or moment)inputs. Based on the data from numerical simulations, a parameter identification method using quantum particleswarm optimization is proposed to simultaneously identify inertia and resistance parameters. By comparing the forward velocity response curves obtained from pool experiments, the identified vehicle model's mean square error of forward velocity is less than 0.20%, which is superior to the steady-state simulation method and particle swarmoptimization and genetic algorithm approaches.

article Article

date_range 2024

language English

link Link of the paper

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Chen Mingzhi

Liu Yuan

Zhu Daqi

Shen Anfeng

Wang Chao

Ji Kaimin

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Featured Keywords

Underwater vehicle

parameter identification

numerical simulation

quantum particle swarmoptimization

dynamic fluid-body interaction

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Assessment of reinforced concrete building damages following the Kahramanmaraş earthquakes in Malatya, Turkey (February 6, 2023)

Abstract

Earthquakes of magnitude Mw = 7.7 and Mw = 7.6 hit the city of Kahramanmaraş (Turkey) on 6 February 2023. These earthquakes caused serious damage in 11 provinces in Turkey resulting in over 50,000 deaths and huge economic losses with the collapse of thousands of buildings. Two consecutive devastating earthquakes have severely damaged the reinforced concrete building stock located in Malatya. There are many reasons reinforced concrete structures suffer damage under the influence of seismic loads. These reasons can be listed as material and section properties that do not comply with earthquake codes, workmanship defects, ground parameters that are not considered and design errors, as seen in field investigations after earthquakes in Turkey in the past. In this research, a field study was conducted on reinforced concrete buildings damaged after the earthquakes in Malatya province. The causes of structural damages in reinforced concrete buildings between 6–26 years of age were assessed in terms of design and material defects. The structural damages were mainly caused due to insufficient stirrups in structural members, short column, strong beam–weak column, failures of infill walls, soft story type collapse, poor concrete quality, and reinforcement corrosion. In addition to the field investigation, the spectrum relationships created using raw acceleration data obtained from DEMP (Disaster and Emergency Management Presidency) stations in Malatya province were compared with the design response spectra.

article Article

date_range 2024

language English

link Link of the paper

Collapsed buildings

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